Instructions to use tweettemposhift/hate-hate_random0_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f64aa8e83314102101a905dd65ded6c68b4bcb8f0efadb8b369995928bb163e
- Size of remote file:
- 1.42 GB
- SHA256:
- e7f0d2dd47f0fbebcebdca88e01f36a89ee7a0d1d1d61da906c06dc42a58d80c
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